This thesis is focused on the design of a new path planning algorithm to solve path planning problems in dynamic, partially observable and real-time environments such as Real-Time Strategy (RTS) games. The emphasis is put on fast action selection motivating the use of Monte-Carlo planning techniques. Three main contributions are presented in this thesis. The first contribution is a Monte-Carlo ...

Although some people may develop an intention to change their health behaviour, they might not take any action. This discrepancy has been labelled the "intention-behaviour gap." Detailed action planning, perceived self-efficacy, and self-regulatory strategies (action control) may mediate between intentions and behaviour. This was examined in a longitudinal sample of 307 cardiac rehabilitation p...

We develop a domain-independent action selection mechanism for planning with sensing that does not build full contingent plans but just chooses the action to do next in a closedloop fashion. For this to work, the mechanism must be fast and informed. We take advantage of recent ideas that allow delete and precondition-free contingent problems to be converted into conformant problems, and conform...

One of the most important properties of temporal planners is their capability of integrating planning into scheduling so that time can be considered as an optimization objective. Forward chaining temporal planners provides tight coupling of planning and scheduling. In these planners, a search node is represented by a world state including the applied action directly attached with a world clock ...

Previous research on dual-tasks has shown that, under some circumstances, actions impair the perception of action-consistent stimuli, whereas, under other conditions, actions facilitate the perception of actionconsistent stimuli. We propose a new model to reconcile these contrasting findings. The planning and control model (PCM) of motorvisual priming proposes that action planning binds categor...

While there are a wide variety of studies about communicative action theory of Habermas, there is the need for building of indicators and variables for quantitative methods of assessing this concept in a particular case study. Especially as the development of communicative action theory has created new perspectives in urban planning, it is necessary to assess and promote this concept in cities ...

Online, sample-based planning algorithms for POMDPs have shown great promise in scaling to problems with large state spaces, but they become intractable for large action and observation spaces. This is particularly problematic in multiagent POMDPs where the action and observation space grows exponentially with the number of agents. To combat this intractability, we propose a novel scalable appr...

Online, sample-based planning algorithms for POMDPs have shown great promise in scaling to problems with large state spaces, but they become intractable for large action and observation spaces. This is particularly problematic in multiagent POMDPs where the action and observation space grows exponentially with the number of agents. To combat this intractability, we propose a novel scalable appr...

BACKGROUND We examined a brief educational intervention addressing hand hygiene self-regulatory mechanisms, and evaluated which psychological mechanisms may lead to hand hygiene behaviours. METHODS Two hundred forty two students (mean age = 21 years, SD = 3.9) received either an experimental (n = 149) or a control condition on action control and planning (n = 93). Hand hygiene, coping plannin...

Commonsense reasoning and probabilistic planning are two of the most important research areas in artificial intelligence. This paper focuses on Integrated commonsense Reasoning and probabilistic Planning (IRP) problems. On one hand, commonsense reasoning algorithms aim at drawing conclusions using structured knowledge that is typically provided in a declarative way. On the other hand, probabili...